Rudney J D, Staikov R K
Department of Oral Science, School of Dentistry, University of Minnesota, 17-252 Moos Tower, 515 Delaware St. SE, Minneapolis, MN 55455, USA.
Arch Oral Biol. 2002 May;47(5):347-59. doi: 10.1016/s0003-9969(02)00019-5.
Salivary proteins have multiple functions and many share similar functions, which may be why it has been difficult to relate variations in their concentrations to oral health and ecology. An alternative is to focus on variations in the major functions of saliva. An hydroxyapatite-coated microplate model has been developed that simultaneously measures saliva-promoted bacterial viability, bacterial aggregation, and live and dead bacterial adherence, while simulating oral temperature and shearing forces from swallowing. That model was applied to resting whole and stimulated parotid saliva from 149 individuals, using representative strains of Streptococcus crista, S. mutans, and Actinobacillus actinomycetemcomitans. Two major factors were defined by multivariate analysis (this was successful only for whole-saliva). One factor was correlated with aggregation, live adherence and dead adherence for all three strains; the other was correlated with total viability of all three strains. Participants were grouped <25th percentile and >75th percentile for each factor. Those groups were compared for clinical indices of oral health. Caries scores were significantly lower in those with high scores for aggregation-adherence, regardless of whether total viability scores were low or high. Live bacteria always predominated on surfaces when live and dead adherence scores were expressed as ratios. However, participants with high scores for aggregation-adherence showed significantly more dead adherent bacteria than those with low scores (these ratios were uncorrelated with total viability). This finding may indicate that extreme differences in the ability to kill bacteria on surfaces can influence caries risk.
唾液蛋白具有多种功能,许多功能相似,这可能就是为何难以将其浓度变化与口腔健康和生态联系起来的原因。另一种方法是关注唾液主要功能的变化。已经开发出一种羟基磷灰石包被的微孔板模型,该模型在模拟口腔温度和吞咽产生的剪切力的同时,能同时测量唾液促进的细菌活力、细菌聚集以及活菌和死菌的黏附情况。该模型应用于149名个体的静息全唾液和刺激腮腺唾液,使用了代表性的克里斯氏链球菌、变形链球菌和伴放线放线杆菌菌株。通过多变量分析确定了两个主要因素(仅对全唾液分析成功)。一个因素与所有三种菌株的聚集、活菌黏附和死菌黏附相关;另一个因素与所有三种菌株的总活力相关。将参与者按每个因素的第25百分位数以下和第75百分位数以上进行分组。比较这些组的口腔健康临床指标。无论总活力得分是低还是高,聚集 - 黏附得分高的参与者的龋齿得分显著更低。当活菌和死菌黏附得分以比率表示时,表面上活菌总是占主导。然而,聚集 - 黏附得分高的参与者的死菌黏附显著多于得分低的参与者(这些比率与总活力无关)。这一发现可能表明表面杀菌能力的极端差异会影响龋齿风险。